The Integration of Multi-Factor Model of Capital Asset Pricing and Penalty Function for Stock Return Evaluation
Journal Title: Communications in Nonlinear Analysis - Year 2019, Vol 4, Issue 2
Abstract
One of the main concerns of investors is the evaluation of the return on investment, which is conducted using various models such as the CAPM (single-factor model), Fama-French three/five-factor models, and Roy and Shijin’s six-factor model and other models known as multi-factor models. Despite the widespread use of these models, their major drawbacks include sensitivity to unexpected changes, sudden shocks, high turbulence of price bubble, and so on. To eliminate such negatives, the multi-factor model using the penalty function method is used, in which, instead of averaging, the optimization and avoidance of the effects of abnormal changes and other factors affecting the capital market are considered. In order to evaluate stock returns, it is possible to select effective factors, to simulate and develop a model appropriate to the conditions governing the capital market in Iran. In the present study, by forming portfolios of investments and identifying and refining effective factors, the classification and estimation of the hybrid model of penalty and multi-factor (P & PCA) functions were performed based on the functional data during 2007-2017. The results of this study indicated that the extensive use of the simulation algorithm for the penalty function in the form of P & PCA estimation method improves the efficiency of multi-factor methods in stock return evaluation, and that the use of the hybrid algorithm of penalty and multi-factor functions, compared to the exclusive use of multi-factor models, brings a higher accuracy in estimating stock returns.
Authors and Affiliations
Aliakbar Farzinfar, Hossein Jahangirnia, Hasan Ghodrati, Reza Gholami Jamkarani
Improving Stock Return Forecasting by Deep Learning Algorithm
Improving return forecasting is very important for both investors and researchers in financial markets. In this study we try to aim this object by two new methods. First, instead of using traditional variable, gold price...
Applying Optimized Mathematical Algorithms to Forecast Stock Price Average Accredited Banks in Tehran Stock Exchange and Iran Fara Bourse
The effective role of capital in every country flows through giving guidelines for capital and resources, generalizing companies and sharing development projects with public, and also adding accredited companies stock ma...
Management Demographic Characteristics, Auditor Choice and Earnings Quality: Empirical Evidence from Iran
Recent accounting and management literature shows that demographic character-istics of top management and corporate performance are related. Accordingly, using a two-stage least squares regression model (2SLS), this stud...
The Relationship Between the Facility Interest Rate and Three Main Variable of the Money Market In Iran (1986-2017)
The bank interest rate is one of the most important macroeconomic variable in each country economic. The purpose of this paper is find the relationship between the facility interest rate and three main variable of the mo...
The Integration of Multi-Factor Model of Capital Asset Pricing and Penalty Function for Stock Return Evaluation
One of the main concerns of investors is the evaluation of the return on investment, which is conducted using various models such as the CAPM (single-factor model), Fama-French three/five-factor models, and Roy and Shiji...